Bootstrap and wild bootstrap for high dimensional linear models

In this paper two bootstrap procedures are considered for the estimation of the distribution of linear contrasts and of F-test statistics in high dimensional linear models. An asymptotic approach will be chosen where the dimension p of the model may increase for sample size n→∞. The range of validit...

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Bibliographic Details
Main Author: Mammen, Enno (Author)
Format: Article (Journal)
Language:English
Published: 1993
In: The annals of statistics
Year: 1993, Volume: 21, Issue: 1, Pages: 255-285
ISSN:2168-8966
Online Access:Verlag, Volltext: http://dx.doi.org./10.1214/aos/1176349025
Verlag, Volltext: http://www.jstor.org/stable/3035590
Verlag, Volltext: https://projecteuclid.org/download/pdf_1/euclid.aos/1176349025
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Author Notes:Enno Mammen
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